Image processing system, image processing method and program, and device

ABSTRACT

The disclosed embodiments include computer-implemented devices, systems, and methods that support image processing services. In an embodiment, a server may match a partial image received from a terminal with stored candidate image in the memory, and upon identification of a match, transmit information identifying the matched candidate image to the terminal.

This application is based upon and claims the benefit of priority fromJapanese Patent Application No. 2014-070719, filed on Mar. 31, 2014, thedisclosure of which is incorporated herein in its entirety by reference.

BACKGROUND Technical Field

The present disclosure generally relates to an image processingtechnology.

Description of the Related Art

In recent years, surveillance cameras have been set up everywhere for acrime prevention effect and for checking the situation upon occurrenceof a crime. However, as blind spots often occur with only fixedsurveillance cameras. In some instances, a wearable surveillance camerasystem may supplement a fixed surveillance camera to improve visibilityand reduce the occurrence of blind spots.

For example, in some systems, a direction and/or position of a wearablesurveillance camera may be controlled flexibly according to wearer'smovement. Further, in certain system, a surveillance camera may apply ahigh-compression encoding scheme to captured image data to reduce anamount of image data transmitted to a center server.

For example, surveillance cameras may apply an image compression scheme,such as the MPEG2 (Moving Picture Experts Group) scheme and the H.264scheme, to captured image data, which may be collected via a wirednetwork (e.g., an Ethernet) and/or a wireless network. Using somehigh-compression encoding schemes, however, the encoded image data mayinclude compressive artifacts or the like, and it may be impossible toobtain clear image data required to support services.

SUMMARY OF THE INVENTION

To achieve such an object, one aspect of the present invention is a animage processing system including a terminal including: an imageaccumulation unit that stores an image and identification information onthe image or a partial image of the image; a transmission unit thattransmits the identification information and the partial image to aserver; and an output unit that outputs additional information based onidentification information received from the server, and a serverincluding: an image matching unit that matches the partial imagereceived from the terminal with an accumulated candidate image; and atransmission unit that transmits the identification informationcorresponding to the matched image to the terminal.

And, another aspect of the present invention is an image processingsystem including a terminal including: an image accumulation unit thatstores an image and identification information on the image or a partialimage of the image; and a transmission unit that transmits theidentification information of the image and the partial image of theimage to a server and transmits the image identified by identificationinformation received from the server to the server, and a serverincluding: an image matching unit that matches the partial imagereceived from the terminal with an accumulated candidate image; and atransmission unit that transmits the identification informationcorresponding to the matched image to the terminal.

And, another aspect of the present invention is an image processingdevice including an output unit that outputs an image of an objectregion when a value indicating a size of the object region of an imagetaken by an imaging unit is greater than a threshold, and, otherwise,outputs an image of a predetermined region including the object region.

According to the present invention, an image processing system, an imageprocessing method and program, and a device that can appropriatelyperform service support are provided.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an exemplary configuration of an image processingsystem, consistent with the disclosed embodiments;

FIG. 2 illustrates an exemplary configuration of an image processingunit, consistent with the disclosed embodiments;

FIG. 3 depicts a flowchart of an exemplary process, consistent with thedisclosed embodiments;

FIG. 4 depicts a flowchart of an exemplary process, consistent with thedisclosed embodiments;

FIG. 5 illustrates an exemplary configuration of an image processingsystem, consistent with the disclosed embodiments;

FIG. 6 depicts a flowchart of an exemplary process, consistent with thedisclosed embodiments;

FIG. 7 illustrates an exemplary configuration of an image processingsystem consistent with the disclosed embodiments;

FIG. 8 illustrates an example of image display, consistent with thedisclosed embodiments;

FIG. 9 depicts a flowchart of an exemplary process, consistent with thedisclosed embodiments;

FIG. 10 illustrates an exemplary configuration of an image processingsystem, consistent with the disclosed embodiments;

FIG. 11 illustrates an exemplary configuration of an image processingsystem, consistent with the disclosed embodiments;

FIG. 12 illustrates an exemplary configuration of an image processingsystem, consistent with the disclosed embodiments;

FIG. 13 illustrates an exemplary configuration of an image processingsystem, consistent with the disclosed embodiments;

FIG. 14 illustrates an exemplary configuration of an image processingsystem, consistent with the disclosed embodiments;

FIG. 15 illustrates an exemplary configuration of an image processingsystem, consistent with the disclosed embodiments;

FIG. 16 depicts a flowchart of an exemplary image cutout method,consistent with the disclosed embodiments;

FIG. 17 illustrates an exemplary configuration of an image processingsystem, consistent with the disclosed embodiments;

FIG. 18 illustrates depicts a flowchart of an exemplary process,consistent with the disclosed embodiments;

FIG. 19 illustrates an exemplary configuration of an image processingsystem, consistent with the disclosed embodiments;

FIG. 20 illustrates depicts a flowchart of an exemplary process,consistent with the disclosed embodiments;

FIG. 21 illustrates an exemplary configuration of a terminal, consistentwith the disclosed embodiments; and

FIG. 22 illustrates depicts a flowchart of an exemplary an image cutoutmethod, consistent with the disclosed embodiments.

DETAILED DESCRIPTION

In the following, exemplary embodiments are described using thedrawings. Wherever possible, the same reference numbers will be usedthroughout the drawings to refer to the same or like parts.

Further, the following description makes reference to units constitutinga device, apparatus, or the like. Consistent with the disclosedembodiments, and without limitation, one or more of the units may berealized by hardware, such as a logical circuit. In other instances, andwithout limitation, one or more of the units may be realized by acomputer control unit, storage units such as a memory, a programincluding processor- and/or computer-implementable instructions loadedto the memory and a hard disk that stores the program, and an interfacefor network connection, and so on. In further aspects, and withoutlimitation, one or more of the units may be realized by an arbitrarycombination of hardware and software (e.g., processor- and/orcomputer-implementable instructions stored on a tangible, non-transitorycomputer-readable medium).

Additionally, in this application, the use of the singular includes theplural unless specifically stated otherwise. In this application, theuse of “or” means “and/or” unless stated otherwise. Furthermore, the useof the term “including,” as well as other forms such as “includes” and“included,” is not limiting. In addition, terms such as “element” or“component” encompass both elements and components comprising one unit,and elements and components that comprise more than one subunit, unlessspecifically stated otherwise.

Embodiment 1

FIG. 1 is a diagram illustrating one example of the whole imageprocessing system configuration, in accordance with a first exemplaryembodiment.

The image processing system includes a first surveillance informationterminal unit 1 and a first surveillance server unit 2. The firstsurveillance information terminal unit 1 and the first surveillanceserver unit 2 may be connected with each other through a wired orwireless communication channel C1.

As illustrated in FIG. 1, the first surveillance information terminalunit 1 may include a camera unit 11, an image processing A unit 12, animage accumulation unit 13 and a transmission/reception unit 14.

In some aspects, the camera unit 11 captures image data A11 and inputsto the image processing A unit 12.

In an instance where an object is included in image data A11, the imageprocessing A unit 12 may detect an object region including the object onthe basis of a predetermined detection parameter. The predetermineddetection parameter may be a size of region sufficient to detect aperson's face, a size of detection window for detecting objects, and/ora parameter for SIFT (Scale-invariant feature transform) algorithm. Insome aspects, the image processing A unit 12 may process image data A11to extract or “cut out” an image of the object region. The cut-out imagemay, for example, may represent partial image data A13. The objectdetected by the image processing A unit 12 may include, for example, aperson's face, a bag and a car, and so on.

The image processing A unit 12 may output the partial image data A13 andan image identifier (e.g., an image ID), such as a frame number inputfrom the camera unit 11, to the transmission/reception unit 14.

In certain aspects, the image processing A unit 12 records image dataA11 in the image accumulation unit 13 together with the image ID. By wayof example, a combination of image data A11 and the image ID mayrepresent at least a portion of recording data A12, and the image ID maybe a frame number.

In some embodiments, image data A11 may identify a plurality of objectsdisplayed within corresponding regions on a screen. In certaininstances, the image ID may correspond to an identifier (e.g., an ID)assigned to or associated with each of the object regions. Additionallyor alternatively, the image ID may correspond to positional information(e.g., coordinate information) of at least one of the objects, a size ofat least one of the objects, and so on.

In an embodiment, and based on a relationship between a recordingcapacity and/or a recording time of the image accumulation unit 13, theimage processing A unit 12 may perform image compression of recordingdata A12 using a dynamic image compression scheme for. The dynamic imagecompression scheme may include, for example, an encoding scheme using aninter-frame differences, including, but not limited to ISO/IEC 13818-2(MPEG-2 encoding scheme) and ISO/IEC 14496-10 (MPEG-4 AVC scheme).

In some aspects, the image processing A unit 12 may receive a requestfor an image data from the first surveillance unit 2. In response to thereceived request, the image processing A unit 12 may transmit therequested image data to the first surveillance server unit 2 through thetransmission/reception A unit 14, as described below.

In some aspects, the transmission/reception unit 14 may transmit partialimage data A13 and the image ID, which are output from the imageprocessing A unit 12, to the first surveillance server unit 2. Thetransmission/reception A unit 14 may additionally transmit the imagedata to the first surveillance server unit 2.

The first surveillance server unit 2 may include atransmission/reception B unit 21, an image processing B unit 22, adatabase unit 23 and an image display unit 24.

The transmission/reception B unit 21 may, for example, input partialimage data A13 and the image ID from the first surveillance informationterminal unit 1. In certain aspects, the image processing B unit 22 mayobtain the partial image data A13 and/or the image ID from thetransmission/reception B unit 21.

In some instances, the image processing B unit 22 matches at least aportion of the partial image data A13 against image data stored in thedatabase unit 23. In an embodiment, the image processing B unit 22 mayestablish the image matching method in accordance with one or morecharacteristics of an object to be matched.

In an instance where the image processing unit 22 matches the partialimage data A13 to an image data included in the database unit 23, theimage processing B unit 22 requests image data from the firstsurveillance information terminal unit 1 through thetransmission/reception B unit 21. In one aspect, the image processing Bunit 22 may transmit an image ID corresponding to the matched image datastored in the database unit 23 to the first surveillance informationterminal unit 1. In other aspects, image processing unit 22 may transmitthe image ID corresponding to the matched image data stored in thedatabase unit 23 in addition to the matched image data.

Further, when image data is recorded in the image accumulation unit 13in a non-compressed manner or in an intra-frame compression scheme, theimage processing B unit 22 may transmit corresponding frame image datato the first surveillance information terminal unit 1. In an instancewhere the image data is recorded in the image accumulation unit 13 in adynamic image compression scheme, the image processing B unit 22 maytransmit an image stream including frame image data, which may includethe image ID, to the first surveillance information terminal unit 1. Theintra-frame compression scheme may include, for example, ISO/IEC 10918-1(JPEG compression scheme), and the image stream transmitted in theabove-mentioned dynamic image compression scheme may include a GOP(Group of Picture) unit in the MPEG-2 encoding scheme.

In an embodiment, and using the matching processes outlined above, imageprocessing B unit 22 may identify an object (i.e., a matched object)within the image data received by the first surveillance server unit 2that matches a corresponding object within the image data stored in thedatabase unit 23. Image processing B unit 22 may transmit the image IDcorresponding to the matched image data stored in the database unit 23for requesting an image data, to the first surveillance informationterminal unit 1. The transmission/reception A unit 14 may transmit theimage data corresponding to the received image ID to the firstsurveillance server unit 2.

The image processing B unit 22 may, in some aspects, superimposeinformation related to the matched object over the received image data,which may be presented to a user by the image display unit 24.

For example, if the matched object image includes a person's face, theimage processing unit 22 performs superimposition display of a border ona position corresponding to a region that includes the matched face, asillustrated in FIG. 8. The disclosed embodiments are, however, notlimited to processes that superimpose a border on a portion of thematched image, and in further embodiments, the image processing unit 22may superimpose an image ID or the like a portion of the matched image,either alone or in addition to the border.

FIGS. 2, 3, and 4 illustrate an exemplary operation of the imageprocessing unit 12, in accordance with disclosed embodiments. Forexample, as illustrated in FIG. 2, the image processing A unit 12 mayinclude an image IO (Input/Output) unit 121, a CPU (Central ProcessingUnit) unit 122, a tangible, non-transitory memory unit 123, and anexternal IO unit 124. In some aspects, memory unit 123 may storeinstructions that, when executed by CPU unit 122, may cause CPU unit 122to perform the exemplary processes illustrated in the flowcharts of FIG.3 and FIG. 4.

By way of example, FIG. 3 illustrates an exemplary process performed byimage processing unit 12 when operating in a normal surveillance state.In certain aspects, the CPU unit 122 may initializes each parameter atthe time of power activation (e.g., in step S1) and may accept an inputof an image from the camera unit 11 (e.g., in step S2).

In step S3, the CPU unit 122 may determine whether the image IO unit 121failed to input image data to the CPU unit 122. When there is no imageinput from the image IO unit 121 (step S3; YES), the CPU unit 122 mayfinish processing, and the exemplary process may be complete. While,when there is an image input from the image IO unit 121 (step S3, NO),the CPU unit 122 counts the number of frames (e.g., a FrameNum) in stepS4 and reads a parameter for object detection from the memory unit 123in step S5. The CPU unit 122 may detect an object from input image dataon the basis of the read parameter (e.g., in step S6).

In step S7, the CPU unit 122 determines whether the object has beendetected within the input image data. In an instance where the CPU unit122 detects the object (step S7; YES), the CPU unit 122 extractscoordinates position information (e.g., ObjectCoord) in the image of thedetected object and image data region (e.g., ObjectXsize, ObjectYsize)that includes the detected object (e.g., in step S8). The CPU unit 122may also assign a unique object detection number (e.g., an ObjectNum) tothe detected object (e.g., in step S9).

In certain aspects, the CPU unit 122 may link the object detectionnumber, the coordinate position information and the image data region(e.g., partial image data A13), and may store them by using a table. TheCPU unit 122 may also calculate an image ID based on the objectdetection number and the frame count (e.g., in step S10). In someinstances, in step S10, the CPU unit 122 may establish the frame countas the image ID for the purpose of processing reduction.

The CPU unit 122 may output the image ID and partial image data A13 tothe transmission/reception A unit 14 (e.g., in step S11). In someaspects, the exemplary process may pass back to step S6, and the CPUunit 122 may detect an additional object within the image data, asdescribed above. The transmission/reception A unit 14 may, in step S11,transmit the image ID and partial image data A13 to the firstsurveillance server unit 2.

In some embodiments, the CPU unit 122 may repeat the detection operationin the whole image data region. When the CPU unit 122 detects noadditional objects (e.g., step S7; NO), the image data detectionoperation is complete. The CPU unit 122 may perform image encoding withthe image ID attached in the frame (e.g., in step S12) and may recordimage data in the image accumulation unit 13 by the external IO unit 124(e.g., in step S13).

As illustrated in FIG. 4, in an instance where there is a request of theimage ID and image data from the first surveillance server unit 2, theCPU unit 122 analyzes the image ID and extracts the frame number (e.g.,in step S14). The CPU unit 122 may read accumulated image data includingimage data of the frame number from the image accumulation unit 13(e.g., in step S15), and may output the accumulated image data to thetransmission/reception unit 14 (e.g., in step S16). In some aspects, thetransmission/reception unit 14 may transmit image data to the firstsurveillance server unit 2.

By these operations, the image processing system can maintain an imagequality required for performing image matching, while reducing a size ofimage data transmitted and received between the first surveillanceinformation terminal unit 1 and the first surveillance server unit 2.After the image matching, a surveillance agent of the first surveillanceserver unit 2 may supervise the whole image of the matching result.

Next, object detection operation in the image processing A unit 12 inFIG. 1 is described in detail using FIG. 16. For example, in an instancewhere the image processing system supervises a person as a surveillancetarget, and if the surveillance target were a wanted person, the imageprocessing system may be configured to perform face matching with thewanted person's photographs. Thus, in some aspects, the size of adetected face image may correspond to a size required for matching withthe wanted person's photographs. In other aspects, the size of adetected face image may exceed a predetermined threshold value.

For example, as illustrated in FIG. 16, in an instance where aninter-eye distance W1 of a first person's face is greater thanpredefined pixel number TH1 and less than TH2, the image processing Aunit 12 cuts out an image data region (1) of a size larger than a regionoutlining the first person's face. In this case, there is a highpossibility that the size of the face image is sufficient to facilitateface matching using any of the exemplary processes described above.

In other aspects, illustrated in FIG. 16, in an instance where inter-eyedistance W2 of a second person's face is less than predefined pixelnumber TH1, the image processing A unit 12 cuts out an image data region(2) of a size larger than a region outlined by an entire body of thesecond person. Since there is a high possibility that the size of thesecond person's face image is not larger than a predetermined threshold,face matching is performed by using an image of the entire target.

In some embodiments, although the size of the first person's face may begreater than predefined pixel number TH1 and less than TH2, apossibility exists that the image processing unit 12 may be unable toacquire the first person's facial features (e.g., because the firstperson wears glasses or a mask). In certain aspects, the imageprocessing A unit 12 may cut out an image data region larger in sizethan the region (1) outlined by the first person's face (e.g., a regionoutlining the entire body of the first person).

As another example, the target object for surveillance within the imagedata (e.g., a surveillance object) may correspond to a wanted vehicle.In an instance where the surveillance object is assumed to be a wantedvehicle, the image processing unit 12 may determine whether a licenseplate is detectable or not, and further, whether the license plate isreadable or not. For example, when the image processing A unit 12determines that a width W3 of the detected license plate is greater thanpredefined pixel number TH1 and less than a predefined pixel number TH2,a high possibility exists that the license plate is readable by theimage processing unit 12, and the image processing A unit 12 may cut outa region corresponding to the license plate as an image data region (3).

Alternatively, in an instance where the image processing unit 12determines that a width W4 of a license plate is less than predefinedpixel number TH1, the image processing A unit 12 cuts out an image dataregion (4) of a larger size than the outline of the entire car and sendsthe image data region (4) to a surveillance server.

In certain aspects, and using the exemplary image cutouts describedabove, the image processing unit 12 may reduce a transmission data sizeby not transmitting a useless image region to the first surveillanceserver unit 2.

According to the disclosed exemplary embodiments, the image processingsystem may maintain an image quality required for performing imagematching, while reducing the data size transmitted and received betweenthe first surveillance information terminal unit 1 and the firstsurveillance server unit 2. Further, after the image matching, asurveillance agent of the first surveillance server unit 2 may monitorthe whole image corresponding to the matching result. Therefore, incertain aspects, the image processing system may appropriately performservice support.

In some embodiments, the image processing system, and its components,may perform the exemplary processes described above to providesurveillance services. The disclosed embodiments are, however, notlimited to surveillance services, and in other embodiments, the imageprocessing system may perform on the more of the processes describedabove to provide customer services, maintenance inspection services, andother similar services.

In some aspects, the surveillance information terminal unit and thesurveillance server unit may be referred to a terminal and a server,respectively. The terminal may, for instance, be associated with asurveillance agent, a serving person, and so on. In certain aspects, theterminal may include a mobile or handheld computing device (e.g.,carried by a hand or other instrument of the person), and additionallyor alternatively, a computing device integrated into a person's clothingor garments (e.g., a wearable computing device or a computing device incommunication either a smart textile or electronic fabric).

In further aspects, the terminal may correspond to a “scouter.” Thescouter may include a wearable computer that combines an eye line cameraand an optical head-mounted display (e.g., a glasses-type head mountdisplay) that presents a half-transparent image on part or entire of aperson's field-of- view. For example, the scouter may be provided with acomputing device configured to perform one or more of the datatransmitting and output processes described above. When the scouterincludes a dedicated glass frame with a camera or audio apparatus (e.g.,a microphone and earphones), the scouter can support not only thesurveillance service, but also on-site services such as a maintenanceinspection service and an assembly service, using any of the disclosedexemplary embodiments and processes.

Embodiment 2

FIG. 5 is a diagram of a whole image processing system configuration, inaccordance with a second exemplary embodiment. The image processingsystem of FIG. 5 may include a second surveillance information terminalunit 3 and a second surveillance server unit 4. Additionally, the imageprocessing system may include the first surveillance server unit 2, asdescribed above.

The second surveillance information terminal unit 3 and the secondsurveillance server unit 4 (and additionally or alternatively, the firstsurveillance server unit 2) may communicate across wired or wirelesscommunication channel C1. As described below in reference to FIG. 5, thesecond surveillance information terminal unit 3 and the secondsurveillance server unit 4 may be connected with each other through thecommunication channel C1.

In an embodiment, the second surveillance information terminal unit 3includes a camera unit 11, an image processing A unit 12, an imageaccumulation unit 13, a transmission/reception A unit 14 and an imagedisplay unit 15. In certain aspects, the camera unit 11, imageprocessing A unit 12, image accumulation unit 13, andtransmission/reception A unit 14 of FIG. 5 are similar in functionalityto corresponding elements of the first surveillance information terminalunit 1 described above in reference to FIG. 1.

For example, and as described above, camera unit 11 may capture imagedata All, and may provide the image data All as input to the imageprocessing A unit 12. Using any of the exemplary processes outlinedabove, the image processing A unit 12 may extract or “cut out” an objectdetected from image data All on the basis of a predetermined detectionparameter. The image processing A unit 12 may establish an image ID forthe image data All (e.g., based on the frame number input from thecamera unit 11), and may transmit the image ID and partial image dataA13 (e.g., which includes image data corresponding to the cut-outobject) to the transmission/reception A unit 14 using any of theexemplary processes outlined above.

In some aspects, and as described above, an image ID consistent with thedisclosed embodiments may identify a plurality of objects displayedwithin corresponding regions on a screen. In some instances, the imageID may correspond to an identifier (e.g., an ID) assigned to orassociated with each of the object regions. Additionally oralternatively, the image ID may correspond to positional information(e.g., coordinate information) of at least one of the objects, a size ofat least one of the objects.

The image processing A unit 12 may, in certain aspects, record imagedata All and the image ID in the image accumulation unit 13 using any ofthe exemplary processes outlined above.

The transmission/reception A unit 14 transmits partial image data A13and the image ID, which are output from the image processing A unit 12,to the second surveillance server unit 4.

In an embodiment, the second surveillance server unit 4 may include atransmission/reception B unit 21, an image processing B unit 22, and adatabase unit 23. In some instances, the transmission/reception B unit21, image processing B unit 22, and database unit 23 of FIG. 5 aresimilar in functionality to corresponding elements of the firstsurveillance server unit 2 described above in reference to FIG. 1.

As described above, the transmission/reception B unit 21 may inputpartial image data A13 and the image ID to the image processing B unit22. Further, in certain aspects, the image processing B unit 22 mayperform matching operation between partial image data A13 and image datastored in the database unit 23 using any of the exemplary processesoutlined above.

For example, and as described above, if partial image data A13 matchesan image stored within the database unit 23, the image processing B unit22 may transmit the image

ID corresponding to the matched image to the second surveillanceinformation terminal unit 3 through the transmission/reception B unit21.

Further, the image processing A unit 12 of the second surveillanceinformation terminal unit 3 may read out from the image accumulationunit 13 image data A14 corresponding to the image ID obtained from thesecond surveillance information terminal unit 3. The image processing Aunit 12 may superimpose information related to the matching result ofthe object image over the image data A14. The image processing A unit 12may display the image data A14, which is superimposed by the informationon the matching result of the object image on the display unit 15, asdescribed below in reference to FIG. 6.

FIG. 6 illustrates an exemplary process for superimposing information ofmatching image data, consistent with the disclosed exemplaryembodiments. In some aspects, the image processing A unit 12 maydetermine the frame number, coordinate position information, and imagedata region based on the image ID obtained from the second surveillanceinformation terminal unit 3 (e.g., step S21 of FIG. 6). The imageprocessing A unit 12 may access the image accumulation unit 13 and readsan image stream of the frame number (step S22 in FIG. 6). In certainaspects, the image processing A unit 12 may decode a target frame of theread image stream, and may superimpose information related to thematching result of the object image over an image of the decoded frameon a region indicated by the coordinate position information (e.g., stepS23 in FIG. 6). An example of the superimposition display is similar toEmbodiment 1.

In some aspects, the image processing system described herein may cansecure images having a quality sufficient to perform image matching,while reducing a the size and/or amount of the image data transmittedand received between the second surveillance information terminal unit 3and the second surveillance server unit 4. Further, since a surveillanceagent may confirm a matching result image in the surveillanceinformation terminal unit 3 in an instance when the second surveillanceserver unit 4 performs image matching, the image processing system mayfacilitate the surveillance agent's careful survey of the matchingresult object.

Further, in some aspects, the second surveillance information terminalunit 3 of FIG. 5 may be coupled to the first surveillance server unit 2of FIG. 1 across communication channel C1. In certain aspects, thesurveillance agent may use the first surveillance server unit 2 (e.g., aserver) to perform surveillance using any of the exemplary processesoutlined above. Thus, the disclosed exemplary embodiments may enableimage processing system to perform appropriate service support.

Embodiment 3

FIG. 7 illustrates a configuration of an exemplary image processingsystem, in accordance with a third embodiment. The image processingsystem of FIG. 7 includes a third surveillance information terminal unit5 and the second surveillance server unit 4.

As described below in reference to FIG. 7, the third surveillanceinformation terminal unit 5 and the second surveillance server unit 4may be connected with each other through wired or wireless communicationchannel C1. Further, although not depicted in FIG. 7, the exemplaryimage processing system may also couple a first surveillance server unit2 (e.g., as described above in reference to FIG. 5) to the thirdsurveillance information terminal unit 5 across communications channelC1, either alone or in conjunction with the second surveillance serverunit 4.

As illustrated in FIG. 7, the third surveillance information terminalunit 5 may include a camera unit 11, an image processing A unit 12, animage accumulation unit 13, a transmission/reception unit 14, an imagedisplay unit 15, and an input unit 16. In certain aspects, the cameraunit 11, image processing A unit 12, image accumulation unit 13, andtransmission/reception A unit 14, and the image display unit 15 of FIG.7 are similar in functionality to corresponding elements of the firstsurveillance information terminal units 1 and 3 described above inreference to FIGS. 1 and 3.

As described above, the camera unit 11 may be configured to captureimage data A11, to provide the captured image data 11 as an input to theimage processing A unit 12. In certain aspects, the image processing Aunit 12 may be configured to extract or “cut out” an object detectedwithin image data A11 on the basis of a preset detection parameter usingany of the exemplary processes described above. Thetransmission/reception A unit 14 may transmit the image ID and cut-outobject image data A13 to the second surveillance server unit 4.

In some aspects, the image processing A unit 12 may be configured tostore image data A11 in the image accumulation unit 13 together with theimage ID. Further, using any of the exemplary processes described above,the image processing A unit 12 may superimpose the detected object overan image captured by camera unit 11 to generate a camera input image,and the image display unit 15 may present the camera input image havingsuperimposed object to a user. By way of example, the image processing Aunit 12 may superimpose a border on a detected face region, and theimage display unit 15 may present an image that includes the detectedface region and the superimposed border, as depicted in FIG. 8. Asillustrated in FIG. 8, the ID to identify the person may be superimposedand displayed near the border of the face region. In some instances, theunique numbers (e.g., regions (1), and (2) in FIG. 8) may besuperimposed and displayed near the border of the face region.

In an embodiment, the input unit 16 may include an information inputunit installed as, for example, a touch sensor on a display screen, acursor key, or a button that allows to directly input the ID of theperson into the third surveillance information terminal unit 5.

In an embodiment, an object in a captured image may represent a person.By way of example, when a person who is doing a suspicious actionappears in an image, a surveillance agent who is associated with thethird surveillance information terminal unit 5 provide, to the inputunit 16, information indicating an object region such as the person'sID. In certain instance, the surveillance agent may tap the region onthe screen which is included in the person, and/or may input the uniquenumber corresponding to the person. Further, in some instances, theimage display unit 15 may present an image in which a border indicatingthe person's ID is superimposed on the person's face region (e.g., asillustrated in FIG. 8). The surveillance agent may select the presentedborder by tapping the region corresponding to the presented border, andthe input unit 16 may input the person's ID which the selected borderindicates.

When the ID is input (e.g., via the input unit 16), the thirdsurveillance information terminal unit 5 may transmit the ID to thesecond surveillance server unit 4 such that the ID can be distinguishedfrom other IDs. In certain instance, the input ID may be distinguishedby a flag that the third surveillance information terminal unit 5 mayadd to the input ID. The second surveillance server unit 4 matcheswhether a face image of a person identified by the transmitted IDcorresponds to a face image stored in the database unit 23. In a casewhere the face image of the person identified by the ID is a face imagethat is not stored, the face image of the person may be additionallystored in the database unit 23 as a person requiring special attention.

By way of example, FIG. 3 illustrates an exemplary process performed byimage processing unit 12 when operating in a normal surveillance state.In certain aspects, the CPU unit 122 may initializes each parameter atthe time of power activation (e.g., in step S1) and may accept an inputof an image from the camera unit 11 (e.g., in step S2).

FIG. 9 illustrates an exemplary process performed by the imageprocessing A unit 12 of the third surveillance information terminal unit5. In certain aspects, as described above in reference to the exemplaryconfiguration of FIG. 2, image processing A unit 12 may include an imageIO unit 121, a CPU unit 122, a tangible, non-transitory memory unit 123,and an external IO unit 124. By way of example, the CPU unit 122 may beconfigured to perform the exemplary processes of FIG. 9 to determine animage ID associated with an input image data received through image I/Ounit 121 (e.g., as captured by camera unit 11), and to assign thedetermined image ID to the input image data (e.g., step S10 of FIG. 3).

Referring to FIG. 9, The CPU unit 122 may be further configured tosuperimpose a detected object on an input image and to present the inputimage having the superimposed object on the image display unit 15 (e.g.,step S31 of FIG. 9). In an instance where a noted object (e.g., anobject watched by a surveillance agent, such as a wanted criminal)exists in an image, an operator of the third surveillance informationterminal unit 5 may input or select an ID of the object using the inputunit 16. The CPU unit 122 may determine whether the input unit 16receives an input or selection of the ID from the operator (e.g., stepS32 of FIG. 9).

If the CPU unite were to determine that the input unit 16 receive theoperator's input or selection of the ID (e.g., step S32; YES), the CPUunit 122 may attach a noted object flag which indicates that the objectis indicated by an input from the input unit 16 to the input ID or theselected ID and calculates the image ID (e.g., step S33 of FIG. 9). Theexemplary processes of FIG. 9 are complete, and the CPU unit 122 mayoutput the calculated image ID, as described above in reference to stepS11 of FIG. 3. If, however, the CPU unit 122 were to determine that theoperated provided neither input nor selection to the input unit 16, theexemplary process passes back to FIG. 3, and the CPU unit 122 calculatedthe image ID as described above (e.g., in step S10 of FIG. 3).

The second surveillance server unit 4 may match whether an image of anobject identified by the image ID is an image stored in the databaseunit 23. In a case where the face image of the person identified by theID is an image that is not stored, the face image of the person may beadditionally stored in the database unit 23 as a target requiringspecial attention.

Using the exemplary embodiments described above, the third surveillanceinformation terminal unit 5 can acquire a matching result by selecting atarget to be surveyed. For example, when the third surveillanceinformation terminal unit 5 is connected with the first surveillanceserver unit 2, a surveillance agent who performs surveillance on theserver can perform surveillance. Thus, in some embodiments, the imageprocessing system can appropriately perform service support.

Embodiment 4

FIG. 10 illustrates an exemplary configuration of an image processingsystem, in accordance with a fourth embodiment. The image processingsystem of FIG. 10 includes a fourth surveillance information terminalunit 7 and the second surveillance server unit 4 connected with eachother through wired or wireless communication channel C1. Further,although not depicted in FIG. 10, the exemplary image processing systemmay also couple a first surveillance server unit 2 (e.g., as describedabove in reference to FIG. 1) to the fourth surveillance informationterminal unit 7 across communications channel C1, either alone or inconjunction with the second surveillance server unit 4.

The fourth surveillance information terminal unit 7 may include a cameraunit 11, an image processing A unit 12, an image accumulation unit 13, atransmission/reception unit 14, an image display unit 15 and an imageprocessing C unit 17. In certain aspects, the camera unit 11, imageprocessing A unit 12, image accumulation unit 13, transmission/receptionA unit 14, and the image display unit 15 of FIG. 10 are similar infunctionality to corresponding elements of the surveillance informationterminal units 1, 3, and 5 described above in reference to FIGS. 1, 3,and 7.

In some instances, an object for surveillance within a correspondingsurveillance region may be identified beforehand, and the secondsurveillance server unit 4 may be configured to transmit image data orimage feature for identifying the image that includes the identifiedobject to the fourth surveillance information terminal unit 7. In someinstances, the image feature may include interest points, region ofinterest, edges, corners, blobs, ridges, and the like. The identifiedobject may include, but is not limited to, a wanted criminal, a lethalweapon, loyal customer, etc. In some aspects, the identified object mayrepresent a target object, and the target object may designated by asurveillance agent or similar individual stored in the database unit 23.

In certain aspects, the fourth surveillance information terminal unit 7may receive the image data that includes the target object and/or theimage feature from the second surveillance server unit 4, and may store(or temporarily store) the image data and the image feature in the imageprocessing C unit 17.

The image processing C unit 17 may be configured to perform image usingobject image region data detected by the image processing A unit 12 inconjunction with the stored image data or the stored image feature. Inan instance where the image processing C unit 17 identifies an image ofthe target object as a result of the image matching processes, the imageof the target object or information to distinguish the image from otherobjects is presented on the image display unit 15.

In certain aspects, as described above in reference to the exemplaryconfiguration of FIG. 2, the image processing C unit 17 may include animage IO unit 121, a CPU unit 122, a tangible, non-transitory memoryunit 123, and an external IO unit 124. . Therefore, if the resources ofthe CPU unit 122 in FIG. 2 are available, the image processing A unit 12and the image processing C unit 17 may be configured to perform any ofthe exemplary processes described above using the same CPU unit (e.g.,the CPU unit 122).

The exemplary image processing system of FIG. 10 may, in some instances,enable a surveillance agent or similar individual to performsurveillance of an object requiring special attention. Thus, the imageprocessing system can perform and support appropriate services.

Embodiment 5

FIG. 11 illustrates an exemplary configuration of an image processingsystem, in accordance with a fifth embodiment. The image processingsystem of FIG. 11 includes a fifth surveillance information terminalunit 8 and a second surveillance server unit 4 connected with each otherthrough wired or wireless communication channel C1. Further, althoughnot depicted in FIG. 10, the exemplary image processing system may alsocouple a first surveillance server unit 2 (e.g., as described above inreference to FIG. 1) to the fifth surveillance information terminal unit8 across communications channel C1, either alone or in conjunction withthe second surveillance server unit 4.

Referring to FIG. 11, the fifth surveillance information terminal unit 8includes a camera unit 11, an image processing A unit 12, an imageaccumulation unit 13, a transmission/reception unit 14, an image displayunit 15, an input unit 16 and an image processing C unit 17. In certainaspects, the camera unit 11, image processing A unit 12, imageaccumulation unit 13, transmission/reception A unit 14, image displayunit 15, input unit 16, and image processing C unit 17 of FIG. 1 aresimilar in functionality to corresponding elements of the surveillanceinformation terminal units 1, 3, 5, and 7 described above in referenceto FIGS. 1, 3, 7, and 10.

In some aspects, the input unit 16 may include, but is not limited to, atouch sensor, a cursor key, or a button that allows an operator todirectly input the ID, as described above. In an instance where a personperforming a suspicious action appears in an image, a surveillance agentwho is associated with the fifth surveillance information terminal unit8 may receive the person's ID as an input from the input unit 16. Thefifth surveillance information terminal unit 8 may, for example,transmit the ID to the second surveillance server unit 4 such that theID can be distinguished from other IDs. In certain instance, the inputID may be distinguished by a flag that the fifth surveillanceinformation terminal unit 8 may add to the input ID.

Further, in some instances, the second surveillance server unit 4matches whether a face image of a person identified by the transmittedID is a face image stored in the database unit 23. In an instance wherethe face image is not stored, the face image of the person may beadditionally stored in the database unit 23 as a person requiringspecial attention.

In an instance where a target object is found beforehand, the secondsurveillance server unit 4 may transmit image data or image feature foridentifying the image to the fifth surveillance information terminalunit 8. In certain aspects, the second surveillance server unit 4 maytransmit the image data or the image feature to the fifth surveillanceinformation terminal unit 8 upon detection of the target object or at atime proximate to the detection of the target object. Further, uponreceipt of the image feature, the fifth surveillance informationterminal unit 8 may store (e.g., permanently or temporarily) thereceived information in the image processing C unit 17.

The image processing C unit 17 may, in some aspects, perform imagematching on the basis of object image region data detected in the imageprocessing A unit 12 and the stored image data or the stored imagefeature. In an instance where the image of the target object is a resultof the image matching process, the target object image and/orinformation to distinguish the target object image from other objectsmay be presented on the image display unit 15.

In the exemplary embodiments described above, the image processingsystem includes both the input unit 16 and the image processing C unit17, the image processing system may thus designate a noted target onboth the terminal and the server. Using the disclosed exemplaryembodiments, a surveillance agent or similar individual may performsurveillance of a noted object more carefully, and the image processingsystem may perform and support appropriate services.

Embodiment 6

FIG. 12 illustrates an exemplary configuration of an image processingsystem, in accordance with a sixth embodiment. The image processingsystem includes multiple second surveillance information terminal units(e.g., units 3 and 3′) connected to a first surveillance server unit 2.Further, although described in terms of two second surveillanceinformation terminal units 3 and 3′, the disclosed embodiments are notlimited to such exemplary numbers of terminal units, and in furtherembodiments, the image processing system may include any additional oralternate number of second surveillance information terminal units(e.g., three or more).

As illustrated in FIG. 12, the second surveillance information terminalunits 3 and 3′ and the first surveillance server unit 2 (or the secondsurveillance server unit 4) are connected with each other through wireor wireless communication channel C1. Since the configuration andoperation of the second surveillance information terminal units 3 and 3′are described in above in reference to FIG. 5, only the differentoperation parts are described in detail.

In an embodiment, partial image data A13 of an object detected in thesecond surveillance information terminal unit 3 may be input in thefirst surveillance server unit 2 through the network N1. In the firstsurveillance server unit 2, the image processing B unit 22 may beconfigured to perform image matching between the image data or the imagefeature stored within the database unit 23 and partial image data A13.In a case where the partial image data A13 is matched with the storedimage data, the first surveillance server unit 2 may be configured totransmit the stored image data (e.g., as stored within the database unit23) to the second surveillance information terminal unit 3′ as matchingimage data.

The second surveillance information terminal unit 3′ may be configuredto present the matching image data on the image display unit 15. In someaspects, the exemplary processes described above may facilitate sharingof image data detected by another surveillance information terminalamong the terminals 3 and 3′.

In some aspects, image processing systems consistent with the disclosedembodiments may display image data stored in the database unit 23 to asurveillance agent who uses the second surveillance information terminalunit 3′. By way of example, when another surveillance agent finds asuspicious object and/or a suspicious person, the disclosed embodimentsfacilitate the sharing of corresponding matching image data among othersurveillance agents. Thus, the image processing system may perform andsupport appropriate services.

Embodiment 7

FIG. 13 illustrates an exemplary configuration of an image processingsystem, in accordance with a seventh embodiment. The image processingsystem includes multiple third surveillance information terminal units(e.g., units 5 and 5′) connected to a first surveillance server unit 2.Further, although described in terms of two third surveillanceinformation terminal units 5 and 5′, the disclosed embodiments are notlimited to such exemplary numbers of terminal units, and in furtherembodiments, the image processing system may include any additional oralternate number of third surveillance information terminal units (e.g.,three or more).

As illustrated in FIG. 13, the third surveillance information terminalunits 5 and 5′ and the first surveillance server unit 2 (or the secondsurveillance server unit 4) are connected with each other through wireor wireless communication channel C1. As for the third surveillanceinformation terminal units 5 and 5′, since the configuration andoperation are described above, only parts of different operation and/orfunctionality are described in detail. Further, although not depicted inFIG. 13, the exemplary image processing system may also couple a secondsurveillance server unit 4 (e.g., as described above in reference toFIG. 5) to the third surveillance information terminal units, eitheralone or in conjunction with the first surveillance server unit 2.

As described above, for example, a surveillance agent who is associatedwith the third surveillance information terminal unit 5 may input, intothe input unit 16, the object ID of an interesting object in image datasubjected to object detection. In some aspects, the object ID andpartial image data A13 may be input in the first surveillance serverunit 2 through the networkN1. In the first surveillance server unit 2,the image processing B unit 22 may be configured to perform imagematching between image data or image feature for identifying the imagestored within the database unit 23 and partial image data A13.

In an instance where partial image data A13 matches with the storedimage data, the first surveillance server unit 2 may transmit the storedimage data to the third surveillance information terminal unit 5′ asmatching image data.

In some aspects, the third surveillance information terminal unit 5′ maypresent the matching image data to an operator using the image displayunit 15. Using the disclosed embodiments, image data detected by anothersurveillance information terminal may be shared among the terminals.

In certain aspects, image processing systems consistent with thedisclosed embodiments may be configured to display the image data storedin the database unit 23 for a surveillance agent that uses the thirdsurveillance information terminal unit 5′. By way of example, whenanother surveillance agent finds a suspicious object and/or a suspiciousperson, the disclosed embodiments may share information among othersurveillance agents, and the image processing system may perform andsupport appropriate services.

Embodiment 8

FIG. 14 illustrates an exemplary configuration of an image processingsystem, in accordance with an eighth embodiment. The image processingsystem of FIG. 14 includes multiple fourth surveillance informationterminal units (e.g., units 7 and 7′) and a first surveillance serverunit 2. Further, although described in terms of two fourth surveillanceinformation terminal units 7 and 7′, the disclosed embodiments are notlimited to such exemplary numbers of terminal units, and in furtherembodiments, the image processing system may include any additional oralternate number of fourth surveillance information terminal units(e.g., three or more).

As illustrated in FIG. 14, the fourth surveillance information terminalunits 7 and 7′ and the first surveillance server unit 2 (or the secondsurveillance server unit 4) are connected with each other through wireor wireless communication channel C1. As for the fourth surveillanceinformation terminal units 7 and 7′, since the configuration andoperation are described above, only parts of different operation and/orfunctionality are described in detail. Further, although not depicted inFIG. 14, the exemplary image processing system may also couple a secondsurveillance server unit 4 (e.g., as described above in reference toFIG. 5) to the fourth surveillance information terminal units, eitheralone or in conjunction with the first surveillance server unit 2.

In an embodiment, image data or image feature for identifying the imageassociated with a target object may be input from the first surveillanceserver unit 2 into the fourth surveillance information terminal unit 7,and the image feature is stored in the image processing C unit 17. Theimage processing C unit 17 may be configured to perform image matchingon the basis of object image region data detected in the imageprocessing A unit 12 and the stored image data or the stored imagefeature. Further, in some aspects, the fourth surveillance informationterminal unit 7′ may be configured to perform one or more of theexemplary processes performed by the fourth surveillance informationterminal unit 7.

Partial image data A13 of an object detected by the fourth surveillanceinformation terminal unit 7 (and additionally or alternatively, byfourth surveillance information terminal unit 7′) may be transmitted tothe first surveillance server unit 2 through the networkN1. The firstsurveillance server unit 2 may transmit the image data to the fourthsurveillance information terminal units 7′ and 7 which are otherterminals. The fourth surveillance information terminal units 7 and 7′may display matching image data received from the other terminal on theimage display unit 15. By this means, image data detected by anothersurveillance information terminal is shared among the terminals.

The disclosed embodiments may, for example, facilitate processes thatshare an image of a surveillance object among surveillance informationterminal units. By way of example, when another surveillance agent findsa suspicious object and a suspicious person, and so on, the disclosedembodiments may share information with terminal units associated withother surveillance agents. Thus, the image processing system may performand support appropriate services.

Embodiment 9

FIG. 15 illustrates an exemplary configuration of an image processingsystem, in accordance with a ninth embodiment. The image processingsystem of FIG. 15 includes multiple fifth surveillance informationterminal units (e.g., units 8 and 8′) connected to a second surveillanceserver unit 4. Further, although descried in terms of two fifthsurveillance information terminal units 8 and 8′, the disclosedembodiments are not limited to such exemplary numbers of terminal units,and in further embodiments, the image processing system may include anyadditional or alternate number of more fifth surveillance informationterminal units (e.g., three or more).

The fifth surveillance information terminal units 8 and 8′ and thesecond surveillance server unit 4 are connected with each other throughwire or wireless communication channel C1. As for the fifth surveillanceinformation terminal units 8 and 8′, since the configuration andoperation are described above, and only parts of different operationand/or functionalities are described in detail. Further, although notdepicted in FIG. 15, the exemplary image processing system may alsocouple a first surveillance server unit 2 (e.g., as described above inreference to FIG. 5) to the fifth surveillance information terminalunits, either alone or in conjunction with the second surveillanceserver unit 4.

In an embodiment, a surveillance agent who is associated with the fifthsurveillance information terminal unit 8 may input, into the input unit16, an ID of an object which the surveillance agent wants to monitor.The fifth surveillance information terminal unit 8 may transmit the IDto the second server unit 4. The second surveillance server unit 4 maymatch whether an image of an object identified by the transmitted ID isimage data stored in the database unit 23.

In certain aspects, when an image data of the object identified by thetransmitted ID is not included within stored image data (e.g., withinthe database unit 23), the image data of the object identified by thetransmitted ID is transmitted to the fifth surveillance informationterminal unit 8′ as matching image data. The fifth surveillanceinformation terminal unit 8′ may be configured to present the matchingimage data on the image display unit 15.

In a case where a target object to be detected is specified in advance,the second surveillance server unit 4 may transmits image data or imagefeature for identifying the image to the fifth surveillance informationterminal units 8 and/or 8′. In certain aspects, the first surveillanceserver unit 2 may transmit the image data or the image feature to thefifth surveillance information terminal units 8 and/or 8′ upon detectionof the target object or at a time proximate to the detection of thetarget object. Further, upon receipt of the image feature by fifthsurveillance information terminal units 8 and/or 8′, and the featureamount may be stored in the image processing C unit 17.

In some aspects, the image processing C unit 17 may compare the matchingimage data with the image data or the image feature of the targetobject, and, in a case where they are matched, displays the matchingimage data on the image display unit 15.

The disclosed embodiments may, for example, facilitate processes thatshare an image of a surveillance object among surveillance informationterminal units. By way of example, when another surveillance agent findsa suspicious object and/or a suspicious person, the disclosedembodiments may share information with terminal units associated withother surveillance agents. Thus, the image processing system may performand support appropriate services.

Embodiment 10

FIG. 17 illustrates an exemplary configuration of an image processingsystem, in accordance with a tenth embodiment. The image processingsystem of FIG. 17 includes a terminal unit 10, which may include animage accumulation unit 101, a transmission unit 102 and an output unit103, and a server 20, which may include an image matching unit 201 and atransmission unit 202.

In one aspect, the image accumulation unit 101 stores an image and an ID(identification information) of the image, or a partial image thatincludes a portion of that image, in association with each other. Theimage may be acquired from an imaging device, such as a camera. Theterminal 10 may assign a unique ID to each acquired image (andadditionally or alternatively, each partial image) and record the eachacquired image (and additionally or alternatively, each partial image)in the image accumulation unit 101. In other aspects, the terminal 10may acquire an image associated with a previously assigned ID, and mayrecord the image in the image accumulation unit 101.

By way of example, a partial image may refer to a partial image “cutout” or extracted from an image. The partial image includes, forexample, a region in which an object appears (e.g., an object region).As described above, the terminal 10 may include an image processing unitcapable of performing object detection functionality. Further, in someinstances, the ID assigned to an image may correspond to a frame numberof the image. In instances where multiple objects are included on ascreen, the ID may be assigned to every partial image may include objectposition information (e.g., coordinate information), the object size,etc. The transmission unit 102 may transmit the ID and the partial imageto the server 20.

In an embodiment, the output unit 103 outputs additional informationbased on the ID received from the server 20. The output may, forexample, include an image display output to a display unit and/or anoutput to an external device. The additional information may includeinformation identifying a result of a matching process performed by theserver 20. For example, the additional information may includeinformation to distinguish an image (or partial image) associated withthe ID received from the server 20 from another image (or anotherpartial image). For example, when an object corresponds to a person'sface, the additional information may identify a frame superimposed anddisplayed on the detected face region, as depicted in FIG. 8. Asillustrated in FIG. 8, the ID to identify the person may be superimposedand displayed near the frame of the face region. In some aspects, the IDmay itself represent additional information, e.g., a partial image inwhich the face region appears.

The image matching unit 201 may match a partial image receive from theterminal 10 with a candidate image. In some instances, the candidateimage may be stored in a database disposed within the server 20 or at anetwork location accessible to the server 20. The transmission unit 202may transmit the ID corresponding to the matched image to the terminal10.

FIG. 18 illustrates an exemplary process performed by the imageprocessing system in accordance with the disclosed embodiments. Asdescribed above, the transmission unit 102 of the terminal 10 maytransmit the ID and a partial image to the server 20 (e.g., step S101 ofFIG. 18). The image matching unit 201 of the server 20 may, in someaspects, match the partial image received from the terminal 10 with acandidate image (e.g., step S102 of FIG. 18). If the image matching unit20 were to determine that the partial image matches the candidate image(e.g., step S102; Yes), the ID corresponding to the matched image may betransmitted to the terminal 10 (e.g., step S103 of FIG. 18). The outputunit 103 of the terminal 10 may output additional information based onthe ID received from the server 20 (e.g., step S104 of FIG. 18). Sincethe terminal 10 accumulates the whole image, it is possible tounderstand the relationship between the matching result of the partialimage and the whole image including the partial image. Therefore, forexample, the output unit 103 may superimpose and display a partial image(e.g., a face image) and the whole image (such as the entire characterimage and a background image) on a display unit, as illustrated in FIG.8.

In some aspects, since an image which a terminal transmits to a servermay be a partial image, the image processing system can reduce acommunication load between the servers and terminals. Further, inadditional embodiments, the image matching unit does not have to beinstalled in the terminal, and a terminal holder (e.g., an operatorand/or a surveillance agent) may confirm a result of causing imagematching to be performed in the server. Therefore, image processingsystems consistent with the disclosed embodiments may perform andsupport surveillance services, customer services, and other services.

Embodiment 11

FIG. 19 illustrates an exemplary configuration of an image processingsystem, in accordance with an eleventh embodiment. The image processingsystem of FIG. 19 may include a terminal 10, which includes an imageaccumulation unit 101 and a transmission unit 104, and a server 20,which includes an image matching unit 201 and a transmission unit 202.The operation and functionality of image accumulation unit 101, theimage matching unit 201 and the transmission unit 202 are comparable tosimilarly numbered units described above, and additional explanation isomitted. As described above, the server 20 may transmit the matchedimage, the image ID indicates the matched image, and/or the additionalinformation to the terminal 10. Further, when a partial image istransmitted to the server 20 and the server 20 performs the imagematching, a surveillance agent or similar individual associated with theserver 20 may desire to watch and/or monitor the circumstance indicatedby not only the partial image, but also the whole image of an imageincluding the partial image. In some aspects, the transmission unit 104may function in a manner similar to the transmission unit 102 describedabove. For instance, the transmission unit 104 may initially transmit apartial image to the server 20, and, afterward, transmit to the server20 the whole image including a partial image identified by the IDreceived from the server 20.

FIG. 20 illustrates an exemplary process performed by the imageprocessing system, in accordance with the disclosed embodiments.

As described above, the transmission unit 102 of the terminal 10 maytransmit the ID and a partial image to the server 20 (e.g., step S101 ofFIG. 20). The image matching unit 201 of the server 20 may, in someaspects, match the partial image received from the terminal 10 with acandidate image (e.g., step S102 of FIG. 20). If the image matching unit20 were to determine that the partial image matches the candidate image(e.g., step S102; Yes), the ID corresponding to the matched image may betransmitted to the terminal 10 (e.g., step S103 of FIG. 20). Thetransmission unit 104 may initially transmit a partial image to theserver 20, and, afterward, transmit to the server 20 the whole imageincluding a partial image identified by the ID received from the server20 (e.g., step S105 of FIG. 20).

In some aspects, when the server 20 matches the partial image with acandidate image, the server 20 may make a transmission request of thewhole image including the partial image to the terminal 10.

Embodiment 12

FIG. 21 illustrates an exemplary image processing device 100, inaccordance with a twelfth embodiment.

In one aspect, an output unit 1001 of the image processing device 100may be configured to: (i) output an image of an object region when avalue indicative of a size of the object region in an image captured byan imaging unit is greater than a threshold value; and (ii) output animage of a predetermined region including the object region when thevalue is not greater than the threshold value. The output may, forexample, represent an image display output provided, by the output unit1001, to a display unit, an external device, or of device or unitcapable of presenting visual representations of data.

In an embodiment, the image processing device 100 may include an imagingunit (e.g., a camera), and a person may utilize the image processingdevice 100 capture an image of an environment surrounding the imagingunit. The image processing device 100 may also include an objectdetection unit, which may be configured to detect a region of an objectfrom the image captured by the imaging unit. By way of example, theobject may include, but is not limited to, a person, a car, a commodity,any portion thereof, and letters presented in the surface of them and aseal fixed to them. Here, it is presumed that the object is a person'sface.

Thus, in some aspects, the size of the face image detected by the objectdetection unit may correspond to a size required for matching with awanted person's photograph, and so on. In other aspects, the size of adetected face image may exceed a predetermined threshold value. Forexample, as illustrated in FIG. 16, in an instance where a firstperson's face inter-eye distance W1 that is a value indicating theobject region size is greater than pixel number TH1 that is a threshold,the object detection unit cuts out a face image (1).

In other aspects, illustrated in FIG. 16, in an instance where a secondperson's face inter-eye distance W2 is less than pixel number TH1, theobject detection unit cuts out an image data region of the outline sizeof the entire person's body of the second person which is apredetermined region including the face image.

In some embodiments, although the facial size of the first person may begreater than predefined pixel number TH1 and less than TH2, apossibility exists that the object detection unit may be unable toacquire the first person's facial features (e.g., because the firstperson wears glasses or a mask). In certain aspects, the objectdetection unit may cut out an image data region larger in size than theregion (1) outlined by the first person's face (e.g., a region outliningthe entire body of the first person).

As another example, the object for surveillance within the image data(e.g., a surveillance object) may correspond to a wanted vehicle. In aninstance, when the object detection unit determines that a width W3 ofthe detected license plate is greater than predefined pixel number TH1,the object detection unit cuts out the region of the license plate as animage data region (3). Alternatively, in an instance where the objectdetection unit determines that a width W4 of a license plate is lessthan predefined pixel number TH1, the object detection unit cuts out animage data region (4) of the entire car outline or a size larger thanthe entire car outline. The output unit 1001 outputs the image cut outin this way.

As another example, depicted in FIG. 22, the object may include a logoof a commodity. The logo may correspond to a brand, a trademark, a sign,a character, and/or a figure that can distinguish the commodity fromother commodities. As depicted in FIG. 22, when a width D2 of thedetected logo is greater than a predefined pixel number, the objectdetection unit may be configured to cut out or extract a region of thelogo as an image data region. Alternatively, when a width D2 of the logois less than a predefined pixel number, the object detection unit may beconfigured to cut out or extract an image data region of the entirecommodity outline, or a size larger than the entire commodity outline.The output unit 1001 outputs the image cut out to a display unit and/oran external device.

In certain aspects, image processing systems consistent with thedisclosed embodiments may prevent an output of a useless image region.Therefore, the image processing system can perform image processing in amore efficient manner, and the image processing system may provide andsupport appropriate services.

Additional Exemplary Embodiments

In one embodiment, an image processing system includes a terminal. Theterminal may, in some instances, include an image accumulation unit thatstores an image and identification information on the image or a partialimage of the image. The terminal may also include transmission unit thattransmits the identification information and the partial image to aserver, and an output unit that outputs additional information based onidentification information received from the server. Further, the imageprocessing system may include server having an image matching unit thatmatches the partial image received from the terminal with an accumulatedcandidate image, and a transmission unit that transmits theidentification information corresponding to said partial image to theterminal.

In another embodiment, the above-mentioned output unit in the imageprocessing system may be an image display unit that displays an image.The output unit may, in some instances, superimpose and displayinformation on a matching result on the image as the additionalinformation.

In another embodiment, an image processing system includes a terminal.The terminal may, in some instances, include an image accumulation unitthat stores an image and identification information on the image or apartial image of the image. The terminal may also include a transmissionunit that transmits the identification information of the image and thepartial image of the image to a server and transmits the imageidentified by identification information received from the server to theserver. Further, the image processing system may include server havingan image matching unit that matches the partial image received from theterminal with an accumulated candidate image, and a transmission unitthat transmits the identification information corresponding to saidpartial image to the terminal.

In some aspects, the above-mentioned partial image may include an objectdetected from an image, and the above-mentioned identificationinformation may be position information of the object or timeinformation on acquisition of the image.

In some aspects, the terminal of the above-mentioned image processingsystem may include an input unit that designates a region of thedetected object. The image processing system may store a partial imagein a database if the partial image including the object region is notmatched with the candidate image.

In some aspects, the above-mentioned terminal may include an input unitthat designates a region of the detected object. Further, a partialimage including the object region designated by the input unit may bematched with the candidate image more preferentially than other partialimages.

In some aspects, the transmission unit of the above-mentioned server maytransmit an image designated from the candidate image to theabove-mentioned terminal, and the above-mentioned terminal may includean image processing unit that matches the image and the partial imagewhen the designated image is received.

In some aspects, when a plurality of the above-mentioned terminals existand the partial image transmitted from at least one of the terminals tothe above-mentioned server is matched in the image matching unit, theserver may transmit the identification information corresponding to saidpartial image to a different terminal from the terminal.

In another embodiment, an image processing device may include an outputunit that outputs an object region when a value indicating a size of theobject region of an image taken by an imaging unit is greater than athreshold, and, otherwise, outputs an image of a predetermined regionincluding the object region.

In some aspects, the object region may be a face region of a person andthe predetermined region may be an image including a whole of theperson.

In some aspects, the object region may be a license plate of a car andthe predetermined region may be an image including a whole of the car.

In another embodiment, an image processing method may include storing animage and identification information on the image or a partial image ofthe image in a terminal, transmitting from the terminal theidentification information and the partial image to a server andoutputting additional information based on identification informationreceived from the server.

The image processing method may further include matching by the serverthe partial image received from the terminal with an accumulatedcandidate image and transmits the identification informationcorresponding to the matched image to the terminal.

In some aspects, the image processing method may further includeoutputting by the terminal the additional information to an imagedisplay unit that displays an image, and superimposing and displaying bythe terminal information on a matching result on the image as theadditional information.

In another embodiment, an image processing method may include storing animage and identification information on the image or a partial image ofthe image in a terminal, transmitting from the terminal theidentification information of the image and the partial image of theimage to a server and transmitting from the terminal to the server theimage identified by identification information received from the server,and matching by the server the partial image received from the terminalwith an accumulated candidate image and transmits the identificationinformation corresponding to the matched image to the terminal.

In some aspects, the partial image may include an object detected froman image, and the identification information may be position informationof the object or time information on acquisition of the image.

In some aspects, the image processing method may further includeaccepting by the terminal the designation of an object region through aninput unit that designates a region of the detected object, and, when apartial image including the designated object region is not matched withthe candidate image, storing the partial image in a database in theterminal.

In some aspects, the above-mentioned terminal may accept the designationof an object region through an input unit that designates a region ofthe detected object. Further, a partial image including the designatedobject region may be matched with the candidate image morepreferentially than other partial images.

In some aspects, the image processing method may further includetransmitting by the server an image designated from the candidate imageto the terminal, and when the designated image is received, matching bythe terminal the image and the partial image.

In some aspects, the image processing method may further include, when aplurality of the terminals exist and the partial image transmitted fromat least one of the terminals to the server is matched, transmitting bythe server the identification information corresponding to the matchedimage to a different terminal from the terminal.

In another embodiment, an image processing method may include outputtingan object region when a value indicating a size of the object region ofan image taken by an imaging unit is greater than a threshold, and,otherwise, outputting an image of a predetermined region including theobject region.

In some aspects, the object region may be a face region of a person andthe predetermined region may be an image including a whole of theperson.

In some aspects, the object region may be a license plate of a car andthe predetermined region may be an image including a whole of the car.

In another embodiment, an image processing program may cause a computerto execute the above-mentioned image processing method.

1-12. (canceled)
 13. An image processing system comprising: a terminalcommunicable with a server via a communication network, wherein theterminal comprises: a camera; and at least one processor configured tocause the terminal to: capture a first image including a person by thecamera; detect a face in the first image; and transmit a second imageincluding the face to the server via the communication network withouttransmitting the first image, wherein the second image is a partialregion of the first image; and the server is configured to: receive thesecond image from the terminal via the communication network; match thesecond image with a registered data stored in a database; and transmitthe second image for display.
 14. The image processing system of claim13, wherein the server is configured to transmit the second image todisplay apparatus for display, the display apparatus being differentfrom the terminal.
 15. The image processing system of claim 13, whereinthe server is further configured to store the second image in thedatabase.
 16. A terminal comprising: at least one memory storinginstructions; and at least one processor configured to execute theinstructions to cause the terminal to: capture a first image including aperson; detect a face in the first image; and transmit a second imageincluding the face to a server via a communication network withouttransmitting the first image, wherein the second image is a partialregion of the first image; wherein: the second image is received, by theserver, from the terminal via the communication network; the secondimage is matched, by the server, with registered data stored in adatabase; and the second image is transmitted, by the server, fordisplay.
 17. The terminal of claim 16, wherein the second image istransmitted, by the server, to display apparatus for display, thedisplay apparatus being different from the terminal.
 18. The terminal ofclaim 16, wherein the second image is stored, by the server, in thedatabase.
 19. An image processing method comprising: capturing a firstimage including a person; detecting a face in the first image; andtransmitting a second image including the face to a server via acommunication network without transmitting the first image, wherein thesecond image is a partial region of the first image; wherein: the secondimage is received, by the server, from a terminal via the communicationnetwork; the second image is matched, by the server, with registereddata stored in a database; and the second image is transmitted, by theserver, for display.
 20. The image processing method of claim 19,wherein the second image is transmitted, by the server, to displayapparatus for display, the display apparatus being different from theterminal.
 21. The image processing method of claim 19, wherein thesecond image is stored, by the server, in the database.
 22. Anon-transitory computer-readable storage medium storing instructionswhich, when executed, cause a terminal to perform operations, theoperations comprising: capturing a first image including a person;detecting a face in the first image; and transmitting a second imageincluding the face to a server via a communication network withouttransmitting the first image, wherein the second image is a partialregion of the first image; wherein: the second image is received, by theserver, from the terminal via the communication network; the secondimage is matched, by the server, with registered data stored in adatabase; and the second image is transmitted, by the server, fordisplay.
 23. The non-transitory computer-readable storage medium ofclaim 22, wherein the second image is transmitted, by the server, todisplay apparatus for display, the display apparatus being differentfrom the terminal.
 24. The non-transitory computer-readable storagemedium of claim 22, wherein the second image is stored, by the server,in the database.